算子融合论文趋势 2023–2026

融合优化

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 221 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

算子融合论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
2023141514851
2024201225966
202525814956
2026149131248

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

全部算子融合论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 73 篇，第 1 / 2 页

  1. NeurIPS 2026Beyond Adjacent Layers: Graph-Guided Layer Fusion for Compressing Large Language Models
  2. NeurIPS 2026Beyond Modality Fusion: Deep Ensembles for Multimodal Classification
  3. NeurIPS 2026Dynamical Adapter Fusion: Constructing A Global Adapter for Pre-Trained Model-based Class-Incremental Learning
  4. NeurIPS 2026Flexformer: Flexible Linear Transformer with Learnable Attention Kernel
  5. NeurIPS 2026Flow-based Spectral Kernel Learning for Nonstationary Attention
  6. NeurIPS 2026Fusion or Confusion? Multimodal Complexity Is Not All You Need
  7. NeurIPS 2026Kernel Selection is Model Selection: A Unified Complexity-Penalised Approach for MMD Two-Sample Tests
  8. NeurIPS 2026Kernel-Gradient Drifting Models
  9. NeurIPS 2026Mini-batch kernel $k$-means
  10. NeurIPS 2026Near-Optimal Regret in Adversarial Kernel Bandits
  11. NeurIPS 2026Optimal algorithmic complexity of inference in quantum kernel methods
  12. NeurIPS 2026ReVMap: Vectorized Global Mapping via Connectivity-Aware Local Map Fusion
  13. NeurIPS 2026Sparse Attention as Compact Kernel Regression
  14. NeurIPS 2026Speeding up Log-Sum-Exp: Kernel Fusion at the Memory Wall, Integer Arithmetic at the Compute Wall
  15. NeurIPS 2025Anchor-based Maximum Discrepancy for Relative Similarity Testing
  16. NeurIPS 2025Beyond Benign Overfitting in Nadaraya-Watson Interpolators
  17. NeurIPS 2025ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive
  18. NeurIPS 2025Computational Efficiency under Covariate Shift in Kernel Ridge Regression
  19. NeurIPS 2025Conditional Distribution Compression via the Kernel Conditional Mean Embedding
  20. NeurIPS 2025Diversifying Parallel Ergodic Search: A Signature Kernel Evolution Strategy
  21. NeurIPS 2025Fast Training of Large Kernel Models with Delayed Projections
  22. NeurIPS 2025FFN Fusion: Rethinking Sequential Computation in Large Language Models
  23. NeurIPS 2025FlashMoE: Fast Distributed MoE in a Single Kernel
  24. NeurIPS 2025Hierarchical Shortest-Path Graph Kernel Network
  25. NeurIPS 2025Just One Layer Norm Guarantees Stable Extrapolation
  26. NeurIPS 2025Kernel conditional tests from learning-theoretic bounds
  27. NeurIPS 2025Kernel von Mises Formula of the Influence Function
  28. NeurIPS 2025Learning Provably Improves the Convergence of Gradient Descent
  29. NeurIPS 2025Linearization Explains Fine-Tuning in Large Language Models
  30. NeurIPS 2025MANGO: Multimodal Attention-based Normalizing Flow Approach to Fusion Learning
  31. NeurIPS 2025Multi-Kernel Correlation-Attention Vision Transformer for Enhanced Contextual Understanding and Multi-Scale Integration
  32. NeurIPS 2025On the Hardness of Conditional Independence Testing In Practice
  33. NeurIPS 2025Optimal kernel regression bounds under energy-bounded noise
  34. NeurIPS 2025Regularized least squares learning with heavy-tailed noise is minimax optimal
  35. NeurIPS 2025Reproducing Kernel Banach Space Models for Neural Networks with Application to Rademacher Complexity Analysis
  36. NeurIPS 2025Scalable Signature Kernel Computations via Local Neumann Series Expansions
  37. NeurIPS 2025SD-KDE: Score-Debiased Kernel Density Estimation
  38. NeurIPS 2025Uncertainty Quantification with the Empirical Neural Tangent Kernel
  39. NeurIPS 2025When Kernels Multiply, Clusters Unify: Fusing Embeddings with the Kronecker Product
  40. NeurIPS 2024A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression
  41. NeurIPS 2024A generalized neural tangent kernel for surrogate gradient learning
  42. NeurIPS 2024A Kernel Perspective on Distillation-based Collaborative Learning
  43. NeurIPS 2024ACFun: Abstract-Concrete Fusion Facial Stylization
  44. NeurIPS 2024Efficient Convex Algorithms for Universal Kernel Learning
  45. NeurIPS 2024Error Correction Output Codes for Robust Neural Networks against Weight-errors: A Neural Tangent Kernel Point of View
  46. NeurIPS 2024Fair Kernel K-Means: from Single Kernel to Multiple Kernel
  47. NeurIPS 2024Faster Neighborhood Attention: Reducing the O(n^2) Cost of Self Attention at the Threadblock Level
  48. NeurIPS 2024Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning
  49. NeurIPS 2024Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions
  50. NeurIPS 2024Learning to Embed Distributions via Maximum Kernel Entropy

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查算子融合在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？

AI 会调用的工具：get_topic_stats {"topic": "kernel-fusion"}

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常见问题

2023–2026 年四大会议一共有多少篇算子融合论文？
共 221 篇，按年份分别是 2023 年 51 篇、2024 年 66 篇、2025 年 56 篇、2026 年 48 篇。
NeurIPS 2026 有多少篇算子融合论文？
NeurIPS 2026 有 14 篇算子融合论文，上一届是 25 篇。
ICLR 2026 有多少篇算子融合论文？
ICLR 2026 有 9 篇算子融合论文，上一届是 8 篇。
ICML 2026 有多少篇算子融合论文？
ICML 2026 有 13 篇算子融合论文，上一届是 14 篇。
CVPR 2026 有多少篇算子融合论文？
CVPR 2026 有 12 篇算子融合论文，上一届是 9 篇。
哪个会议的算子融合论文最多？
NeurIPS，2023–2026 年共 73 篇。

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